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Customer Analytics in the Age of Social Media: Executive Summary
Posted in: Business Intelligence - Jul 02, 2012Customer analytics is about implementing technologies and methods for knowing more about customers’ behavior, their paths to purchasing goods and services, and what actions will engender greater loyalty among those who are most valuable. This new research reveals best practices, barriers, and benefits.top
TDWI Best Practices Report | Customer Analytics in the Age of Social Media
Posted in: Business Intelligence - Jul 02, 2012Customer analytics and intelligence initiatives are undergoing major changes with the explosion in detailed customer behavior data, including that generated by social media. Today, organizations implement a variety of technologies to analyze customer data, including business intelligence (BI) tools, data warehouses, analytic databases, predictive analytics, and more. This report examines organizations’ experiences with customer analytics technologies in the age of social media and recommend best practices for improving customer intelligence and reaching customer-centric goals.top
Corporate Marketing Success Depends on the CIO – IT Management
Posted in: Uncategorized - Jun 29, 2012More than ever, CIOs must work closely with chief marketing officers (CMOs) to maximize IT support for marketing initiatives targeted at customers, according to a recent survey of marketing professionals from IBM, "The State of Marketing 2012." But a lack of cooperation and...top
IBM Launches New Cloud-Based Wimbledon Website – Latest News
Posted in: Uncategorized - Jun 26, 2012IBM and the All England Club have launched a new, more interactive Wimbledon Website powered by IBM analytics and cloud computing technology.top
Turning BI Mavericks into BI Mavens: Bridging the Gap Between Business Analysts and IT
Posted in: Business Intelligence - Jun 26, 2012Most organizations have BI mavericks in their business ranks. These are the folks who use analytics a lot but are very frustrated with the BI environments provided by their IT counterparts. They never seem to have the data they want, or the way they want it, so they go rogue and acquire or build out their own solutions, ignoring the value that enterprise BI can provide.top
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